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Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey

Crossref DOI link: https://doi.org/10.1186/s12874-024-02171-z

Published Online: 2024-02-15

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Castro, Luis

Rueda, María del Mar

Sánchez-Cantalejo, Carmen

Ferri, Ramón

Cabrera-León, Andrés
Funding

Funding for this research was provided by:

Ministerio de Economía y Competitividad (PID2019-106861RB-I00)

IMAG-Maria de Maeztu, Spain (CEX2020-001105-M/AEI/10.13039/501100011033)
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Text and Data Mining valid from 2024-02-15

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Article History

Received: 16 June 2023

Accepted: 5 February 2024

First Online: 15 February 2024

Change Date: 4 March 2024

Change Type: Update

Change Details: Funding section has been rewritten with the funder code MCIN/AEI/10.13039/501100011033 appeared first in this section.

Declarations

:

: All methods were carried out in accordance with relevant guidelines and regulations. An informed consent was obtained from all subjects involved in the ESSA survey on which this study is based. It was also approved by the Research Ethics Committee of the Department of Health and Families of the Andalusian Regional Government (protocol code 10/20, dated 07 December 2020). The ESSA is an activity included in the processing activities registry of the Department of Health and Families of the Andalusian Regional Government and is linked to the Andalusian Health Survey (EAS, Encuesta Andaluza de Salud), an official statistical operation included in the Andalusian Statistical and Cartographic Plan 2023-2029 (Plan Estadístico y Cartográfico de Andalucía), code 04.02.16.

: Not applicable.

: The authors declare no competing interests.

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